Web Reference: Jun 17, 2024 · The problem occured, when numpy==2.0.0 has been released on June 16th 2024, because it is no longer compatible with your pandas version. The solution is to pin down the numpy version to any before the 2.0.0. Jul 23, 2024 · You are using a version of NumPy which is not compatible with the version of pandas you are using. To fix this, you need to downgrade numpy to a version that is compatible with your pandas version. Aug 11, 2025 · This usually means there’s a binary incompatibility between NumPy and other libraries that depend on it. Let’s break down what’s happening and how you can fix it.
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